Core Viewpoint - The development of a reverse design AI model for thermal radiation metamaterials by a research team at Shanghai Jiao Tong University significantly enhances the efficiency of material design, enabling rapid generation of numerous candidate designs for various applications [1][2]. Group 1: AI Model Development - The AI model can filter through over 50,000 design combinations in just three months, a process that would take an astronomical amount of time using conventional methods [1]. - The model is inspired by the three-dimensional topology of biological structures and utilizes a novel "three-plane modeling method" to accurately describe three-dimensional structural units [1]. - A comprehensive database containing 57,110 sets of data has been established, linking materials, superstructures, and spectral performance [1]. Group 2: Practical Applications - The team validated the model's effectiveness by designing and experimentally verifying four types of thermal radiation metamaterials for specific applications, including flexible films, coatings, and patches [2]. - In outdoor tests, these metamaterials demonstrated excellent self-cooling effects, with single-band selective metamaterials showing surface temperatures 2.5°C and 5.3°C lower than broadband metamaterials and commercial white paint, respectively [2]. - The experimental results indicate the model's potential applications in building energy efficiency and mitigating urban heat island effects [2].

日前，上海交大团队在热辐射超材料领域取得重大原创突破，通过构建热辐射超材料逆向设计AI模 型，突破现有材料设计"上限"，大批量生成热辐射超材料候选设计方案，实现"优中选优"。相关成果7 月2日发表在《自然》杂志上。（智通财经） ...

她表示，目前科学研究已逐渐迈入数据密集型的第四范式，也就是人工智能驱动的研究范式；而其团队 早在2019年左右，就开始探索机器学习与科研的结合，并用了五六年时间完成了这一成果。 来源：中国新闻网 中新网上海7月3日电 (记者 郑莹莹)"我们引入AI(人工智能)模型，仅用3个月就可以筛选出5万多组数 据，如果用常规方法，那么需要的时间难以估量。"上海交通大学材料科学与工程学院教授周涵3日在上 海接受采访时说。 北京时间7月2日深夜，上海交通大学团队领衔的AI热辐射超材料科研成果登上《自然》(Nature)，图为 研究团队进行材料展示，左三是周涵教授。(上海交通大学供图) 超材料是指一类具有特殊性质的人造材料，其中，具有热辐射性能的超材料可以把多余的热量"打包"传 递到外界，好比"降温神器"。 超材料的微结构设计及材料组分设计组合起来有上百万种可能性，就像在迷宫里找路。周涵表示，团队 通过引入AI模型，将这一探索时间大为缩短。 北京时间7月2日深夜，上海交通大学团队领衔的科研成果登上《自然》(Nature)。该团队在AI热辐射超 材料领域取得重大原创突破，构建了一个热辐射超材料逆向设计AI模型，能够大批量生成相关 ...